Scene Matching Techniques Using Satellite Imagery Data-Reference-Cited by-同舟云学术

Scene Matching Techniques Using Satellite Imagery Data

Published:2023-11-02 Issue: Volume:5 Page:194-201
ISSN:2766-9823
Container-title:International Journal of Applied Mathematics, Computational Science and Systems Engineering
language:en
Short-container-title:

Author:

Shahin A. A.¹

Affiliation:

1. Professor in National Authority for Remote Sensing & Space Sciences, NARSS, Cairo, EGYPT

Abstract

The problem of scene matching is a challenging problem in the field of image processing and pattern recognition. Therefore, it is modeled and its influencing factors are analyzed. According to sources, influence factors can be catalogued into three types: 1- changes of scenes 2- changes of image conditions 3- changes of sensors. For each factor, its mechanism is discussed. Given a pictorial description of a region of a scene, it is desired to determine which region in another scene is similar. The most efficient algorithms for scene matching are discussed. Those are the sequential hierarchical scenes matching algorithms for grey-scale and binary images and the two-stage template-matching algorithm. Experimental results are presented for matching satellite images of AI-Minea (EGYPT) and Montana (USA) using those approaches. The results prove efficiency and success in reaching the best match location with minimum required computations. A comment on the results is presented as well as a comparison between the applied methods.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Reference20 articles.

1. Li. Xiang, “Scene Matching Techniques”; Modeling and Analysis. Y. Yang, M. Ma, and B. Liu (Eds.): ICICA 2013, Part II, CCIS 392, pp. 184–193, 2013.

2. Deshmukh, M., Bhosle, U., “A Survey of Image Registration”; International Journal of Image Processing 5(3), 245–269 (2011).

3. Wyawahare, M.V., et al., “Image Registration Techniques: An overview”; International Journal of Signal Processing 2(3), 11–28 (2009).

4. Dawn, S., Saxena, V., Sharma, B., “Remote Sensing Image Registration Techniques: A Survey”; The International Conference on Image and Signal Processing”, pp. 103–112 (2010).

5. Guo, Q., “Modeling and simulation of the scene matching and orientation system”; Infrared and Laser Engineering 35(z1), 295–300 (2006).